On the Benefit of Robust Bayesian Confirmatory Factor Analysis

Radislav Vaisman 1
, 
Mitchell Scovell 2
, 
Nikolai Kinaev 2
, 
Javier Fernandez 1
1
 
2
 
Publication type: Journal Article
Publication date: 2024-12-16
Taylor & Francis
scimago Q1
wos Q1
SJR: 3.321
CiteScore: 8.4
Impact factor: 3.2
ISSN: 10705511, 15328007
Found 

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Vaisman R. et al. On the Benefit of Robust Bayesian Confirmatory Factor Analysis // Structural Equation Modeling. 2024. pp. 1-11.
GOST all authors (up to 50) Copy
Vaisman R., Scovell M., Kinaev N., Fernandez J. On the Benefit of Robust Bayesian Confirmatory Factor Analysis // Structural Equation Modeling. 2024. pp. 1-11.
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RIS Copy
TY - JOUR
DO - 10.1080/10705511.2024.2431981
UR - https://www.tandfonline.com/doi/full/10.1080/10705511.2024.2431981
TI - On the Benefit of Robust Bayesian Confirmatory Factor Analysis
T2 - Structural Equation Modeling
AU - Vaisman, Radislav
AU - Scovell, Mitchell
AU - Kinaev, Nikolai
AU - Fernandez, Javier
PY - 2024
DA - 2024/12/16
PB - Taylor & Francis
SP - 1-11
SN - 1070-5511
SN - 1532-8007
ER -
BibTex
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@article{2024_Vaisman,
author = {Radislav Vaisman and Mitchell Scovell and Nikolai Kinaev and Javier Fernandez},
title = {On the Benefit of Robust Bayesian Confirmatory Factor Analysis},
journal = {Structural Equation Modeling},
year = {2024},
publisher = {Taylor & Francis},
month = {dec},
url = {https://www.tandfonline.com/doi/full/10.1080/10705511.2024.2431981},
pages = {1--11},
doi = {10.1080/10705511.2024.2431981}
}